GoodReason - Adopt: GoodReason praxis

Adopt: GoodReason praxis

Thinking is the most important work in the numerous companies and roles. It also matters in research everywhere. Systems thinking with or without publishing results is crucial to get other persons to learn together, which means crowdsourcing.

Systems thinking is mostly systems communication. Systems journalism can be seen a novel publishing policy or methodology, which uses system architecture in formulating and analyzing selected topics in any media: text, web, newspaper, computer models etc.  Theory for it comes from systems science and cognitive science and IT modeling. Some relevant links are Newell, Anderson, Sowa and Russell.


Symbolic presentation for Society and the GoodReason methodology

Some principles of the systemic approach (according to Niklas Luhmann) are:

  • There are flows everywhere: material, energy, information, money and services (MEIMS) as well as people and business actions and skills etc.
  • There are feedback loops and non-linear behavior, opposite forces, too. Systems are not ideal, because they often fail.

Fig 1: Abstract model for society for illustrating the systemic approach.


An example: Climate Change

The method (Fig 1) is an example of rigorous projects. It has 16 phases. They form a typical way to become familiar with a systemic challenge like climate change, a political crisis etc.

How to study climate change (using 15 phases):

  • 1. The first step starts by opening a context, relevant to the audience, the user.
  • 2. Initial information is usually needed to select the approach (political etc).
  • 3. Relevant questions are found in net and scientific articles (Quora etc).
  • 4. Actual context C is formulated: What should we know?
  • 5. The first simple system model, S, is created objectively.
  • 6. This is the chance for the user to use one’s creativity for creating the model, e.g the system with its neighbourhood. It should be interesting to get cohesion to work with.
  • 7. User starts to furnish his/her simple model by adding into it most relevant ideas, topics, concepts, applicants, dangerous things. Soft systems thinking methodology (SSM) is also useful knowledge here to understand what means abstracting reality as simple systems.
  • 8. User draws graphs for S and the neighbour (first mindmaps if needed) in order to define conceptual space for the topic (problem space/solution space).
  • 9.  Building architecture is useful in most challenging topics, because it opens questions to analyze and plan solutions more detailedly as layers (Zachman etc).
  • 10. Comprehension about the environment grows gradually in phases 6 to 10.
  • 11. Understanding causality and unlinear behavior is most important in systemic challenges. They are artefacts, systemic laws, symbolic manipulation, problems of management etc.
  • 12. After recursively made analysis it is time to make presentations to the audience.
  • 14. Any understandable principle to argument the context in relation to the proposals is welcome. Deming cycle is an easy selection for audience to find their own presentations to improve the proposal and to thank the presentation.
  • 15. Conclusion for the presentation can be a change in culture (vs climate change) or any more concrete program. Whole System Change is one methodology to promote them.
  • 16. If presentations are widely published, it requires resources to do that.
Fig 1, The GoodReason challenge as a method.


Fig 2, The GoodReason method as a process starts from the challenge (1) and ends to publishing (16).

OBS. The last row of Fig 2 refers to four different learning theories: behaviorism, connectivism, conceptualism and constructionism. Together they form a definition for system.


Understanding the study as a continuum

Learning and research are studying processes, continuums to collect information, to change it to knowledge.  The model (Fig 2) is symmetric. Information comes as input from left and it finishes to the right. It deepens from top to bottom having recursive tasks to be tackled.

Fig 3. Example of many uses to combine methods.

Because of its fractal and compact form, the process can be extended into any direction.

In Fig 3. there is an assumed study about photograph (camera) technology , which uses soft systems methodology (SSM) and robotics in certain phases. If Fig 3 there are two problem spaces to be changed into solutions, solution spaces.